code: def _evaluate_slice_type(
      s: slice_type, value_fn: _value_fn_type = None
  ):
      if isinstance(s, list):
          return [_evaluate_slice_type(se, value_fn) for se in s]
      else:
          return slice(
              s.start.evaluate(value_fn)
              if isinstance(s.start, MaybeWeighted)
              else s.start,
              s.stop.evaluate(value_fn)
              if isinstance(s.stop, MaybeWeighted)
              else s.stop,
              s.step.evaluate(value_fn)
              if isinstance(s.step, MaybeWeighted)
              else s.step,
          )
  
imports: from __future__ import annotations
  import operator
  from typing import Callable, Iterator, TypeVar, Any, Optional, Tuple, Union, List, Dict, Generic, cast
  import numpy
  import torch
label_desc: Use image node_id 6 for calling a global function with example usage: _evaluate_slice_type(s, value_fn) and returns: unknown, slice